15 citations · 18 across the 3 of their papers we have counts for
3 papers
Causality-Inspired Taxonomy for Explainable Artificial Intelligence
Pedro C. Neto, Tiago Gonçalves, João Ribeiro Pinto +4
As two sides of the same coin, causality and explainable artificial intelligence (xAI) were initially proposed and developed with different goals. However, the latter can only be c…
Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes
Wilson Silva, Maria Carvalho, Carlos Mavioso +2
Treatments for breast cancer have continued to evolve and improve in recent years, resulting in a substantial increase in survival rates, with approximately 80\% of patients having…
Towards Privacy-preserving Explanations in Medical Image Analysis
H. Montenegro, W. Silva, J. S. Cardoso
The use of Deep Learning in the medical field is hindered by the lack of interpretability. Case-based interpretability strategies can provide intuitive explanations for deep learni…